问题
Given the following data frame:
import pandas as pd
df=pd.DataFrame({'A':['$0-$20','$20+']})
df
A
0 0−20
1 $20+
How can I get the first value (0-20) to display with the dollar signs, as I originally specified? It actually displays the zero in a strange font and I'm not sure why it works for "$20+" but not "$0-"$20".
I've tried:
df=pd.DataFrame({'A':[str('$0-$20'),'$20+']})
...but no dice.
Here's specifically what I get:
I'm using the Jupyter notebook (Anaconda 3, Python 3.5) Thanks in advance!
回答1:
In Jupyter, the $0-$ gets interpreted as tagged latex. It looks like you are running in iPython and something similar is probably happening.
Notice the odd font on the 0 - and the bar after the -. I know this bar is an artifact of a mathjax/chrome bug, which is what tipped me off.
You're dataframe is intact. It's displaying it that's an issue.
Doing something like this should help:
import pandas as pd
df=pd.DataFrame({'A':['$0-$20','$20+']})
print df.__repr__()
A
0 $0-$20
1 $20+
The __repr__ method embodies how an object is to be displayed and returns a string. Jupyter-notebook calls _repr_html_ instead and passes it through an HTML handler.
来源：https://stackoverflow.com/questions/38150927/pandas-column-index-values-with-dollar-signs